Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it ...

Consequently, most commercial graph and vector databases include support for the most common SQL commands, encapsulated in the ISO/ANSI SQL-92 standard. Where relational databases represent data as ...

(Image: DB engines) The gist of what's going on is that we have a war for graph database domination, and query language is a key battle to be won. SQL did not arrive at universal adoption overnight.

IBM releases Graph, a service that can outperform SQL databases by Dan Richman on July 27, 2016 at 3:25 pm Share 1 Tweet Share Reddit Email ...

Many graph insiders expect Cypher to become the standard language that allows graph databases to be searched, regardless of the product involved, which will power strong growth for the entire market.

George Anadiotis, Linked Data Orchestration/ZDNet: “2018 was the Year of the Graph, the year graph databases went mainstream. I have no reason to think this will change, it will only accelerate.

As graph database adoption accelerates, new data infrastructures will emerge to eliminate many of the scale struggles of graph database models. Written by eWEEK content and product recommendations ...

Therein lies the first challenge for organizations moving toward graph databases: SQL is a pervasive skill set, and Cypher and other graph query languages are a new skill to learn.

Ever since it emerged four years ago with a graph database that scales out natively on clusters of up to 1,000 nodes, TigerGraph has been pushing the boundaries of what a property graph database can ...

Memgraph, a real-time graph database provider, today announced it has raised $9.34 million in a seed funding round led by Microsoft’s M12. The company also launched its community and enterprise ...